MoniGarr’s work has supported institutions across government, education, research, media, and cultural sectors, including environments where AI systems carry long-term social, cultural, or institutional consequence.
This work has included responsibility for:
- Language-centered AI systems
- AI governance and stewardship frameworks
- Research and technical infrastructure
- Institutional modernization under constraint
Due to the nature of the work, specific examples are shared selectively and only where context, trust, and confidentiality permit.
Mini Indig LLM Kit: Polysynthetic Language Mini-LLM Starter Kit is an open-source project that fine-tunes LLaMA 3 (8B) with QLoRA and a custom tokenizer, tailored for morphologically complex languages. Build, fine-tune, and deploy culturally responsible, offline-compatible Mini LLMs for Indigenous, polysynthetic, low-resource languages. This toolkit helps Onkwehonwe communities, researchers, and technologists fine-tune open-source LLMs like LLaMA 3 (8B) using QLoRA for their own languages—especially those without an ISO code for each dialect, dictionaries, or digital resources that are not currently supported by standardized communication protocols and platforms. All tools are optimized to run offline, with clear instructions, low-resource compatibility, and collaborative cultural protocols.
Fluvian SDK: AI-First Android Streaming SDK for Live Video, DRM, and Real-Time QoS Optimization. Build high-performance streaming apps with production-grade playback + adaptive QoS decision systems.
SMBNA: Secure Multi-Belief Navigation Arbitration. A belief-centric navigation framework that detects false certainty and refuses unsafe decisions in GPS-degraded autonomous systems. Safe, explainable navigation for autonomous systems in GPS-degraded, denied, and adversarial environments. Simulation-driven decision system for navigation under uncertainty.
ARKHE: A research framework for exploring first principles, discovering structure, invariants, emergent structure, and rule-based systems through mathematical sequences, symbolic systems and analytical models. ARKHĒ is an open research framework for studying first principles in rule-based systems where simple constraints give rise to complex structure. ARKHĒ follows production-grade engineering standards where they support research integrity, reproducibility, and auditability.
Spinning Up: fully modernized and operational fork of OpenAI’s Spinning Up, now compatible with current Python (3.8+), PyTorch, Gymnasium and MuJoCo ecosystems.
Magisterium: After Effects Scripts: automated batch rendering with customized settings & outputs, dynamic text generation based on external data sources, complex animations, interactive ui, data driven animation, template generation, integration, asset management,
KSV_JSON_AE_: Adobe After Effects automation scripts for creation & rendering of video compositions based on data from JSON files.
MoniGarr 
